PolyFuzz | Fuzzy string matching , grouping , and evaluation | Natural Language Processing library

by MaartenGr Python Version: 0.4.2 License: MIT

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | PolyFuzz Summary

PolyFuzz is a Python library typically used in Artificial Intelligence, Natural Language Processing, Bert applications. PolyFuzz has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install PolyFuzz' or download it from GitHub, PyPI.

PolyFuzz performs fuzzy string matching, string grouping, and contains extensive evaluation functions. PolyFuzz is meant to bring fuzzy string matching techniques together within a single framework. Currently, methods include a variety of edit distance measures, a character-based n-gram TF-IDF, word embedding techniques such as FastText and GloVe, and transformers embeddings.

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PolyFuzz has a low active ecosystem.

It has 639 star(s) with 59 fork(s). There are 13 watchers for this library.

There were 2 major release(s) in the last 12 months.

There are 17 open issues and 27 have been closed. On average issues are closed in 9 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of PolyFuzz is 0.4.2

Quality

PolyFuzz has 0 bugs and 0 code smells.

Security

PolyFuzz has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

PolyFuzz code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

PolyFuzz is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

PolyFuzz releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

PolyFuzz saves you 390 person hours of effort in developing the same functionality from scratch.

It has 929 lines of code, 61 functions and 28 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed PolyFuzz and discovered the below as its top functions. This is intended to give you an instant insight into PolyFuzz implemented functionality, and help decide if they suit your requirements.

Compute cosine similarity
Compute matches based on the method
Fit the model to the given list
Embeds a list of strings
Update model_ids
Compute the top n values of a sparse matrix
Compute the top n - n similarity score
Compute cosine similarity between two vectors
Visualize precision recall curve
Compute the precision recall curve
Check if the model is fit
Visualize precision recall recall
Calculate cosine similarity
Compute matches from from_list
Extract tfidf from from to_list
Create a list of n - grams from a string
Remove spaces and spaces
Compute the cosine similarity between two documents
Create logger

Get all kandi verified functions for this library.

PolyFuzz Key Features

No Key Features are available at this moment for PolyFuzz.

PolyFuzz Examples and Code Snippets

No Code Snippets are available at this moment for PolyFuzz.

Community Discussions

Trending Discussions on PolyFuzz

Keep the longest word fragment in a Python list and discard the others

QUESTION

Keep the longest word fragment in a Python list and discard the others

Asked 2021-Aug-01 at 21:18

I have a list of string and some are fragments of a longer word. I just want to keep the longest version of each word fragment.

In the following list I would like to keep the longest word 'indoor outdoor beanbag lounger' and remove the other word fragments.

Example:

...

ANSWER

Answered 2021-Aug-01 at 17:57

As suggested by @atru, if all you need is the longest entry and all your entries have words separated by whitespace, then this simple code will solve your issue:

Source https://stackoverflow.com/questions/68612814

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install PolyFuzz

You can install PolyFuzz via pip:.
For an in-depth overview of the possibilities of PolyFuzz you can check the full documentation here or you can follow along with the notebook here.
The main goal of PolyFuzz is to allow the user to perform different methods for matching strings. We start by defining two lists, one to map from and one to map to. We are going to be using TF-IDF to create n-grams on a character level in order to compare similarity between strings. Then, we calculate the similarity between strings by calculating the cosine similarity between vector representations.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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